Where was the JF08N number plate registered?

Vehicles with the JF08N prefix were first registered in the UK through official DVLA regional allocation tag JF.

What year was a JF08N registration plate released?

The JF08N series was issued during March 2008 to August 2008.

What is the MOT pass rate for JF08N vehicles?

Vehicles in the JF08N cohort demonstrate an average historical MOT pass rate of 83.3% based on 6 recorded DVSA inspections.

Batch Prefix Hub

JF08N Series Number Plates

UK vehicles during March 2008 to August 2008 with registration prefix JF08N.

Area Office: DVLA Region (JF)
Release Period: March 2008 to August 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 83.3%

Popular Makes

VOLKSWAGEN 50% (1)

VOLVO 50% (1)

83.3%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Black2 vehicles

Active Plates in JF08N Series(2 of 2 displayed)

Filter by 6th Letter:

JF08NAN

MOT Valid

VOLKSWAGEN POLO ACTIVE TSI

1.0L · Petrol · Black

First Used: Sep 2021
MOT Expiry: 02 Oct 2026
Tax Status: —
Color: Black

Check History & Specs

JF08NER

MOT Valid

VOLVO V40

2.0L · Petrol · Black

First Used: Sep 2016
MOT Expiry: 28 Sep 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JF08N Makes

Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:

VOLKSWAGEN Common Problems VOLVO Common Problems

Frequently Asked Questions about JF08N Plates

Where was the JF08N number plate series registered?

Vehicles starting with JF08N were assigned to the DVLA regional office covering the UK. The first two letters (JF) identify the memory tag assigned by the DVLA.

What registration period is JF08N?

The JF08N age identifier corresponds to vehicles first registered between March 2008 to August 2008.

How can I check the MOT history of a JF08N vehicle?

Click any registration in the plate list above to view the complete DVSA inspection history, advisory alerts, mileage progression, road tax status, and our AI mechanical risk evaluation.